Nir Levy

651 citations
18 papers · 413 · h-index 8

Impact in

    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms
    • Face Recognition and Perception
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering

Papers in

Nir Levy

16 papers receiving 403 citations

Peers

Nir Levy
Comparison fields: 5 of 69
  • Cognitive Neuroscience 327
  • Cellular and Molecular Neuroscience 119
  • General Decision Sciences 8
  • Experimental and Cognitive Psychology 49
  • Modeling and Simulation 10
Replace Matthew Chalk with:
Matthew Chalk France
Daniel Toker United States
Madhura R. Joglekar United States
Mikhail Katkov Israel
Hansem Sohn United States
João Barbosa Spain
Romain D. Cazé United Kingdom
Clara Kwon Starkweather United States
Marie-Alice Gariel France
Dominic Standage Canada
Nir Levy relative to Matthew Chalk France Matthew Chalk's profile →
Citations per field
00.5×3.3×
Matthew Chalk · 1×
Citations per year

Countries citing papers authored by Nir Levy

Since Specialization
Citations

This map shows the geographic impact of Nir Levy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nir Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Levy more than expected).

Fields of papers citing papers by Nir Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nir Levy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nir Levy. The network helps show where Nir Levy may publish in the future.

Co-authors

The 12 scholars most cited alongside Nir Levy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nir Levy Line = papers co-authored together Nir Levy links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2012178
2 200176
3 199644
4 199841
5
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly
199917
6 199915
7 201712
8 19989
9 20205
10 20204
11 20004
12 19983
13 19992
14
The Effect of New York City Sports Outcomes on the Stock Market
20151
15
Multi-modular Associative Memory
19971
16
The Determinants of Immigration to Israel
20091
17 19990
18 20000

About Nir Levy

Nir Levy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Sociology and Political Science, having authored 18 papers that have together received 413 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Advanced Memory and Neural Computing (7 papers), Neural Networks and Applications (3 papers), Memory and Neural Mechanisms (2 papers), Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Cognitive Neuroscience (327 citations), Cellular and Molecular Neuroscience (119 citations), General Decision Sciences (8 citations), Experimental and Cognitive Psychology (49 citations) and Modeling and Simulation (10 citations). Nir Levy has collaborated with scholars based in Israel and United States. Frequent co-authors include Eytan Ruppin, D. Horn, Ariel Goldstein, Asael Y. Sklar, Ran R. Hassin, Anat Maril, Roi Mandel, Isaac Meilijson, Elad Yom‐Tov and Michael Iv. Their work appears in journals such as Neural Computation, Neurocomputing, Network Computation in Neural Systems, Physica A Statistical Mechanics and its Applications and Neural Networks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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